[jira] [Updated] (FLINK-25801) add cpu processor metric of taskmanager

["王俊博 (Jira)" <ji...@apache.org>]

     [ https://issues.apache.org/jira/browse/FLINK-25801?page=com.atlassian.jira.plugin.system.issuetabpanels:all-tabpanel ]

王俊博 updated FLINK-25801:
------------------------
    Description: 
flink process add cpu load metric, with user know environment of cpu processor they can determine that their job is io bound /cpu bound . But flink doesn't add container access cpu processor metric, if cpu environment of taskmanager is different(Cpu cores), it's hard to calculate cpu used of flink.

 
{code:java}
//代码占位符
metrics.<Double, Gauge<Double>>gauge("Load", mxBean::getProcessCpuLoad);
metrics.<Long, Gauge<Long>>gauge("Time", mxBean::getProcessCpuTime); {code}
Spark give totalCores to show Number of cores available in this executor in ExecutorSummary.

 

[https://spark.apache.org/docs/3.1.1/monitoring.html#:~:text=totalCores,in%20this%20executor.]

 
{code:java}
//代码占位符
val sb = new StringBuilder
sb.append(s"""spark_info{version="$SPARK_VERSION_SHORT", revision="$SPARK_REVISION"} 1.0\n""")
val store = uiRoot.asInstanceOf[SparkUI].store
store.executorList(true).foreach { executor =>
  val prefix = "metrics_executor_"
  val labels = Seq(
    "application_id" -> store.applicationInfo.id,
    "application_name" -> store.applicationInfo.name,
    "executor_id" -> executor.id
  ).map { case (k, v) => s"""$k="$v"""" }.mkString("{", ", ", "}")
  sb.append(s"${prefix}rddBlocks$labels ${executor.rddBlocks}\n")
  sb.append(s"${prefix}memoryUsed_bytes$labels ${executor.memoryUsed}\n")
  sb.append(s"${prefix}diskUsed_bytes$labels ${executor.diskUsed}\n")
  sb.append(s"${prefix}totalCores$labels ${executor.totalCores}\n") {code}
 

 

  was:flink process add cpu load metric, with user know environment of cpu processor they can determine that their job is io bound /cpu bound . But flink doesn't add container access cpu processor metric, if cpu environment of taskmanager is different(Cpu cores), it's hard to calculate cpu used of flink.


> add cpu processor metric of taskmanager
> ---------------------------------------
>
>                 Key: FLINK-25801
>                 URL: https://issues.apache.org/jira/browse/FLINK-25801
>             Project: Flink
>          Issue Type: Improvement
>          Components: Runtime / Metrics
>            Reporter: 王俊博
>            Priority: Minor
>
> flink process add cpu load metric, with user know environment of cpu processor they can determine that their job is io bound /cpu bound . But flink doesn't add container access cpu processor metric, if cpu environment of taskmanager is different(Cpu cores), it's hard to calculate cpu used of flink.
>  
> {code:java}
> //代码占位符
> metrics.<Double, Gauge<Double>>gauge("Load", mxBean::getProcessCpuLoad);
> metrics.<Long, Gauge<Long>>gauge("Time", mxBean::getProcessCpuTime); {code}
> Spark give totalCores to show Number of cores available in this executor in ExecutorSummary.
>  
> [https://spark.apache.org/docs/3.1.1/monitoring.html#:~:text=totalCores,in%20this%20executor.]
>  
> {code:java}
> //代码占位符
> val sb = new StringBuilder
> sb.append(s"""spark_info{version="$SPARK_VERSION_SHORT", revision="$SPARK_REVISION"} 1.0\n""")
> val store = uiRoot.asInstanceOf[SparkUI].store
> store.executorList(true).foreach { executor =>
>   val prefix = "metrics_executor_"
>   val labels = Seq(
>     "application_id" -> store.applicationInfo.id,
>     "application_name" -> store.applicationInfo.name,
>     "executor_id" -> executor.id
>   ).map { case (k, v) => s"""$k="$v"""" }.mkString("{", ", ", "}")
>   sb.append(s"${prefix}rddBlocks$labels ${executor.rddBlocks}\n")
>   sb.append(s"${prefix}memoryUsed_bytes$labels ${executor.memoryUsed}\n")
>   sb.append(s"${prefix}diskUsed_bytes$labels ${executor.diskUsed}\n")
>   sb.append(s"${prefix}totalCores$labels ${executor.totalCores}\n") {code}
>  
>  



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